household_benefits_covid19
2022-01-11
Sys.setenv(LANG = "en") #English
knitr::opts_chunk$set(echo = TRUE)rm(list = ls())
path <- getwd()
setwd(path)
# packages
pacman::p_load(tidyverse, patchwork, plotly)
# Font for windows and mac
if (stringr::str_detect(path, pattern="D:")){
theme_set(theme_classic(base_size = 10, base_family = "Arial")) # For Windows
} else{
theme_set(theme_classic(base_size = 10, base_family = "HiraginoSans-W3")) # For Mac OS
}
options(scipen=10)
# annotation size
annotate_size <- 31 Data and anntation setting
# 2021Feb02
graphs_data <- readr::read_csv("output/time_series_data.csv")## Parsed with column specification:
## cols(
## .default = col_double(),
## prefecture = col_character(),
## date = col_date(format = ""),
## kyujin_bairitsu = col_logical(),
## prefec_zenkaku = col_character(),
## year_month = col_character()
## )## See spec(...) for full column specifications.# graphs_data <- graphs_data %>%
# dplyr::rename(hogo_persons_total = persons_total,
# hogo_households_total = households_total)
graphs_data <- graphs_data %>% dplyr::filter(date >= "2019-01-01" & date <= "2020-09-01")2 Employment rate and LFP/就業率と労働参加率
emp_labor <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = employment_rate, group= 1),
stat = "identity", position = "identity", color = "gray30") +
geom_line(aes(x = year_month,y = labor_participation_rate, group = 1),
stat = "identity",position = "identity", color = "blue") +
scale_y_continuous(breaks = seq(58,63,by = 1), limits = c(58,63)) +
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(a) Employment and labor force") +
annotate(geom="text", x = "2019-05", y = 61.2,
label = "Employment rate", size = annotate_size, color = "gray30") +
annotate(geom = "text", x = "2019-07", y = 62.8,
label = "Labor force participation rate", size = annotate_size, color = "blue" )
emp_labor <- emp_labor + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
emp_labor
ggplotly(emp_labor)## Warning: `group_by_()` is deprecated as of dplyr 0.7.0.
## Please use `group_by()` instead.
## See vignette('programming') for more help
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_warnings()` to see where this warning was generated.3 Unemployment rate and jobs-to-applicants ratio/失業率と有効求人倍率
# graph
unemp_jobapps <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = unemployment_rate, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month,y = jobs_to_applicants_ratio, group = 1),
stat = "identity",position = "identity", color = "gray30") +
labs(title = "(b) Unemployment and jobs-to-applicants ratio", size = 0.4) +
geom_vline(xintercept = "2020-01",colour = "gray") +
scale_y_continuous(expand = c(0,0),breaks = seq(0,3.5,by = 0.5), limits = c(0, 3.5)) +
theme(axis.title.x = element_blank(), axis.title.y = element_blank())+
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 0)) +
theme(plot.title = element_text(size = 10)) +
annotate(geom = "text", x = "2019-05", y = 2.7, label = "Unemployment rate",
size = annotate_size,color = "blue") +
#annotate("segment", x = "2020-06", y = 3.0,
# xend = "2020-06", yend = 3.2,
# arrow = arrow(length = unit(0, "cm"), type = "closed")) +
annotate(geom = "text", x= "2019-05", y =1.8,
label=" Jobs-to-applicants ratio", size = annotate_size , color = "gray30")
#annotate("segment", x = "2020-06", y = 1.0,
# xend = "2020-06", yend = 0.8,
# arrow = arrow(length = unit(0, "cm"), type = "closed"))
unemp_jobapps <- unemp_jobapps + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
unemp_jobapps
ggplotly(unemp_jobapps)4 Suicide/自殺者数
suicide <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = suicide_total, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = suicide_female, group = 1),
stat = "identity", position = "identity", color = "gray30") +
geom_line(aes(x = year_month, y = suicide_male, group = 1),
stat = "identity",position = "identity", color = "brown") +
scale_y_continuous(breaks = seq(0,2000,by = 500), limits = c(0,2000)) +
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 0)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(c) The number of suicides") +
annotate(geom = "text", x = "2019-02", y = 1800,
label = "Total", size = annotate_size, color = "blue") +
annotate(geom = "text", x = "2019-02", y = 630,
label = "Women", size = annotate_size, color = "gray30" ) +
annotate(geom = "text", x = "2019-02", y = 1300,
label = "Men", size = annotate_size, color = "brown" )
suicide <- suicide + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
suicide
ggplotly(suicide)5 Suicide(YOY)/自殺者数(対前年同期差)
yoy_suicide <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = yoy_suicide_total, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = yoy_suicide_female, group = 1),
stat = "identity", position = "identity", color = "gray30") +
geom_line(aes(x = year_month, y = yoy_suicide_male, group = 1),
stat = "identity",position = "identity", color = "brown") +
scale_y_continuous(breaks = seq(-400, 400,by = 100), limits = c(-400,400)) + #2021Aug13 ylim -300 → -350
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(d) The number of suicides (year-on-year)") +
annotate(geom = "text", x = "2020-07", y = 370,
label = "Total", size = annotate_size , color = "blue") +
annotate(geom = "text", x = "2020-03", y = 50,
label = "Women", size = annotate_size, color = "gray30" ) +
annotate(geom = "text", x = "2020-08", y = -40,
label = "Men", size = annotate_size, color = "brown")
yoy_suicide <- yoy_suicide + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
yoy_suicide
ggplotly(yoy_suicide)6 Public assistance/生活保護
6.1 Recipients and recipients households/受給者数と受給世帯数
public_assistance <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = persons_receive_zenkoku, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = households_receive_zenkoku, group = 1),
stat = "identity", position = "identity", color = "gray30") +
scale_y_continuous(breaks = seq(1500000, 2100000, by = 100000), limits = c(1500000, 2100000)) +
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(g) Public Assistance recipients and recipient households") +
annotate(geom = "text", x = "2019-02", y = 2000000, hjust = 0,
label = "Public Assistance recipients", size = annotate_size , color = "blue") +
annotate(geom = "text", x = "2019-02", y = 1700000, hjust = 0,
label = "Public Assistance recipient households", size = annotate_size, color = "gray30" )
#annotate(geom = "text", x = "2020-08", y = -70,
# label = "Men", size = annotate_size, color = "brown")
public_assistance <- public_assistance + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
public_assistance
ggplotly(public_assistance)6.2 Recipients and recipients households(YOY)/受給者数と受給世帯数(YOY)
public_assistance_yoy <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = yoy_persons_receive_zenkoku, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = yoy_households_receive_zenkoku, group = 1),
stat = "identity", position = "identity", color = "gray30")+
scale_y_continuous(breaks = seq(-30000, 3000, by = 10000), limits = c(-30000, 3000)) +
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(g) Public Assistance recipients and recipient households (year-on-year)") +
annotate(geom = "text", x = "2019-08", y = -17000, hjust = 0,
label = "Public Assistance recipients", size = annotate_size , color = "blue") +
annotate(geom = "text", x = "2019-08", y = 2000, hjust = 0,
label = "Public Assistance recipient households", size = annotate_size, color = "gray30" )
public_assistance_yoy <- public_assistance_yoy + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
public_assistance_yoy
ggplotly(public_assistance_yoy)6.3 Recipient households by hosehold type/世帯類型別の受給世帯数
YOY_public_assistance <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = yoy_households_receive_elderly_zenkoku, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = yoy_households_receive_singlemother_zenkoku, group = 1),
stat = "identity", position = "identity", color = "gray30",linetype="dashed") +
geom_line(aes(x = year_month, y = yoy_households_receive_disabled_zenkoku, group = 1),
stat = "identity", position = "identity", color = "brown") +
geom_line(aes(x = year_month, y = yoy_households_receive_sick_zenkoku, group = 1),
stat = "identity", position = "identity", color = "red") +
geom_line(aes(x = year_month, y = yoy_households_receive_others_zenkoku, group = 1)) +
labs(title = "(h) Public Assistance recipient households by type (year-on-year)") +
scale_y_continuous(limits = c(-12000,20000)) +
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
annotate(geom = "text", x = "2019-04", y = 14000, hjust = 0,
label = "The elderly", size = annotate_size , color = "blue") +
annotate(geom = "text", x = "2019-04", y = 6000, hjust = 0,
label = "The disabled", size = annotate_size , color = "brown") +
annotate(geom = "text", x = "2019-05", y = -3000, hjust = 0,
label = "Single mothers", size = annotate_size , color = "gray30") +
annotate(geom = "text", x = "2020-02", y = 0, hjust = 0,
label = "Others", size = annotate_size , color = "black") +
annotate(geom = "text", x = "2020-04", y = -10000, hjust = 0,
label = "The sick", size = annotate_size , color = "red")
YOY_public_assistance <- YOY_public_assistance + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
YOY_public_assistance
ggplotly(YOY_public_assistance)7 2nd-tier programs/緊急小口と総合支援と住居確保給付金
7.1 Emergency SA Funds and General Support Funds/緊急小口と総合支援
# 2020Jan29
poverty_programs <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = koguchi_number, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = sogo_number, group = 1),
stat = "identity", position = "identity", color = "gray30") +
#scale_y_continuous(breaks = seq(-300, 350,by = 100), limits = c(-300,350)) +
scale_y_continuous(limits = c(0,200000)) +
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(f) Accepted applications for emergency loans") +
annotate(geom = "text", x = "2020-02", y = 150000, hjust = 1,
label = "Emergency Small Ammount Funds", size = annotate_size, color = "blue" ) +
annotate(geom = "text", x = "2020-02", y = 75000, hjust = 1,
label = "General Support Funds", size = annotate_size, color = "gray30" )
poverty_programs <- poverty_programs + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
poverty_programs
ggplotly(poverty_programs)7.2 Housing Security Benefit/住居確保給付金
# 2020Jan29
jukyo_number <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = jukyo_number, group = 1),
stat = "identity", position = "identity", color = "blue") +
#scale_y_continuous(breaks = seq(-300, 350,by = 100), limits = c(-300,350)) +
geom_vline(xintercept = "2020-01", colour = "gray30") +
scale_y_continuous(limits = c(0,40000)) +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(g) Accepted applications for Housing Security Benefit") +
annotate(geom = "text", x = "2019-09", y = 20000,
label = "Housing Security Benefit", size = annotate_size , color = "blue")
jukyo_number <- jukyo_number + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
jukyo_number
ggplotly(jukyo_number)7.3 2nd-tier progrms/緊急小口・総合支援・住居確保
# 2020Jan29
safety_net <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = koguchi_number, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = sogo_number, group = 1),
stat = "identity", position = "identity", color = "gray30") +
geom_line(aes(x = year_month, y = jukyo_number, group = 1),
stat = "identity", position = "identity", color = "brown") +
geom_vline(xintercept = "2020-01", colour = "gray30") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
theme(plot.title = element_text(size = 10)) +
scale_y_continuous(limits = c(0,200000)) +
labs(title = " (f) Accepted applications for second-tier safety net programs") +
annotate(geom = "text", x = "2020-03", y = 150000, hjust = 1,
label = "Emergency Small Ammount Funds", size = annotate_size, color = "blue" ) +
annotate(geom = "text", x = "2020-03", y = 75000, hjust = 1,
label = "General Support Funds", size = annotate_size, color = "gray30" ) +
annotate(geom = "text", x = "2020-03", y = 20000, hjust = 1,
label = "Housing Security Benefit", size = annotate_size , color = "brown")
safety_net <- safety_net + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
safety_net
ggplotly(safety_net)8 Unemployment benefit/失業給付
失業等給付の基本手当 
8.1 Recipients/失業給付受給者実人数
unemp_benefit_number <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = unemp_benefit_number_total, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = unemp_benefit_number_female, group = 1),
stat = "identity", position = "identity", color = "gray30") +
geom_line(aes(x = year_month, y = unemp_benefit_number_male, group = 1),
stat = "identity",position = "identity", color = "brown") +
geom_vline(xintercept = "2020-01", colour = "gray") +
scale_y_continuous(limits = c(0,600000)) +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 0)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(e) Unemployment Benefit recipients") +
annotate(geom = "text", x = "2019-02", y = 400000,
label = "Total", size = annotate_size, color = "blue") +
annotate(geom = "text", x = "2019-02", y = 250000,
label = "Women", size = annotate_size, color = "gray30" ) +
annotate(geom = "text", x = "2019-02", y = 100000,
label = "Men", size = annotate_size, color = "brown" )
unemp_benefit_number <- unemp_benefit_number + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
unemp_benefit_number 
ggplotly(unemp_benefit_number)8.2 Recipients(YOY)/失業給付受給者実人数(YOY)
yoy_unemp_benefit_number <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = yoy_unemp_benefit_number_total, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = yoy_unemp_benefit_number_female, group = 1),
stat = "identity", position = "identity", color = "gray30") +
geom_line(aes(x = year_month, y = yoy_unemp_benefit_number_male, group = 1),
stat = "identity",position = "identity", color = "brown") +
geom_vline(xintercept = "2020-01", colour = "gray") +
#scale_y_continuous(limits = c(0,600000)) +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 0)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "(e) Unemployment Benefit recipients (year-on-year)") +
annotate(geom = "text", x = "2020-05", y = 100000,
label = "Total", size = annotate_size, color = "blue") +
annotate(geom = "text", x = "2020-07", y = 15000,
label = "Women", size = annotate_size, color = "gray30" ) +
annotate(geom = "text", x = "2020-07", y = 70000,
label = "Men", size = annotate_size, color = "brown" )
yoy_unemp_benefit_number <- yoy_unemp_benefit_number +
geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
yoy_unemp_benefit_number 
ggplotly(yoy_unemp_benefit_number)8.3 Benefit amounts/失業給付支給金額
- Not used in the paper
unemp_benefit_yen <- ggplot(data = graphs_data) +
geom_line(aes(x = year_month, y = unemp_benefit_yen_total, group = 1),
stat = "identity", position = "identity", color = "blue") +
geom_line(aes(x = year_month, y = unemp_benefit_yen_female, group = 1),
stat = "identity", position = "identity", color = "gray30") +
geom_line(aes(x = year_month, y = unemp_benefit_yen_male, group = 1),
stat = "identity",position = "identity", color = "brown") +
geom_vline(xintercept = "2020-01", colour = "gray") +
theme(axis.title.x = element_blank(), axis.title.y = element_blank()) +
theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 0)) +
theme(plot.title = element_text(size = 10)) +
labs(title = "The amount of unempolyment benefits") +
annotate(geom = "text", x = "2019-02", y = 50000000000,
label = "Total", size = annotate_size, color = "blue") +
annotate(geom = "text", x = "2019-02", y = 30000000000,
label = "Women", size = annotate_size, color = "gray30" ) +
annotate(geom = "text", x = "2019-02", y = 15000000000,
label = "Men", size = annotate_size, color = "brown" )
unemp_benefit_yen <- unemp_benefit_yen + geom_rect(aes(xmin="2020-04",xmax="2020-06", ymin = -Inf, ymax = Inf), # 2021Aug17 網掛け追加
fill = "gray70", alpha = 0.01)
unemp_benefit_yen
ggplotly(unemp_benefit_yen)9 Merge graphs/グラフ統合
# 2020Jan29
# Use patchwork
g <- (emp_labor + unemp_jobapps) / (suicide + yoy_suicide) /
(unemp_benefit_number + safety_net)/ (public_assistance + YOY_public_assistance)
g
# 2020Jan29
# Use patchwork
g_updated_UB_level_ver <- (emp_labor + unemp_jobapps) / (suicide + yoy_suicide) /
(unemp_benefit_number + safety_net)/ (public_assistance_yoy + YOY_public_assistance)
g_updated_UB_level_ver
# 2021Nov4
# Use patchwork
g_updated <- (emp_labor + unemp_jobapps) / (suicide + yoy_suicide) /
(yoy_unemp_benefit_number + safety_net)/ (public_assistance_yoy + YOY_public_assistance)
g_updated
# 2021Aug13
# Font for windows and mac
if(stringr::str_detect(path, pattern="D:")){
ggplot2::ggsave(file = "output/graphs_time_series.pdf", plot = g, dpi = 100, width = 10, height = 12)
} else{
# for mac (ggsaveで出力できず)
# pngで出力
quartz(file = "output/graphs_time_series.pdf", family = "sans", type = "pdf",
width = 12, height = 14)
print(g)
dev.off()
}## quartz_off_screen
## 2#if(stringr::str_detect(path, pattern="/Users")){
# for mac (ggsaveで出力できず)
# pngで出力
#quartz(file = "graphs_time_series.pdf", family = "sans", type = "pdf",
# width = 12, height = 14)
#print(g)
#dev.off()
#}else{
# for windows
# pngで出力
#ggplot2::ggsave(file = "graphs_time_series.pdf", dpi = 300, width = 10, height = 12, plot = g)
#ggplot2::ggsave(file = "graphs_time_series.pdf", plot = g, dpi = 100, width = 10, height = 12)
#}# 2021NOv4
if(stringr::str_detect(path, pattern="/Users")){
# for mac (ggsaveで出力できず)
# pngで出力
quartz(file = "output/graphs_time_series_updated.pdf", family = "sans", type = "pdf",
width = 12, height = 14)
print(g_updated)
dev.off()
}else{
# for windows
ggplot2::ggsave(file = "output/graphs_time_series_updated.pdf", plot = g_updated, dpi = 100, width = 10, height = 12)
}## quartz_off_screen
## 2# 2021Aug13
if(stringr::str_detect(path, pattern="/Users")){
# for mac (ggsaveで出力できず)
# pngで出力
quartz(file = "output/graphs_time_series_updated_UB_level_ver.pdf", family = "sans", type = "pdf",
width = 12, height = 14)
print(g_updated_UB_level_ver)
dev.off()
}else{
# for windows
ggplot2::ggsave(file = "output/graphs_time_series_updated_UB_level_ver.pdf", plot = g_updated_UB_level_ver, dpi = 100, width = 10, height = 12)
}## quartz_off_screen
## 2